🪶 feat: Add Support for Azure OpenAI Base URL (#1596)

* refactor(extractBaseURL): add handling for all possible Cloudflare AI Gateway endpoints

* chore: added endpointoption todo for updating type and optimizing handling app-wide

* feat(azureUtils):
- `genAzureChatCompletion`: allow optional client pass to update azure property
- `constructAzureURL`: optionally replace placeholders for instance and deployment names of an azure baseURL
- add tests for module

* refactor(extractBaseURL): return entire input when cloudflare `azure-openai` suffix detected
- also add more tests for both construct and extract URL

* refactor(genAzureChatCompletion): only allow omitting instance name if baseURL is not set

* refactor(initializeClient): determine `reverseProxyUrl` based on endpoint (azure or openai)

* refactor: utitlize `constructAzureURL` when `AZURE_OPENAI_BASEURL` is set

* docs: update docs on `AZURE_OPENAI_BASEURL`

* fix(ci): update expected error message for `azureUtils` tests

api/app/clients/OpenAIClient.js

@@ -2,8 +2,13 @@ const OpenAI = require('openai');
 const { HttpsProxyAgent } = require('https-proxy-agent');
 const { getResponseSender, ImageDetailCost, ImageDetail } = require('librechat-data-provider');
 const { encoding_for_model: encodingForModel, get_encoding: getEncoding } = require('tiktoken');
+const {
+  getModelMaxTokens,
+  genAzureChatCompletion,
+  extractBaseURL,
+  constructAzureURL,
+} = require('~/utils');
 const { encodeAndFormat, validateVisionModel } = require('~/server/services/Files/images');
-const { getModelMaxTokens, genAzureChatCompletion, extractBaseURL } = require('~/utils');
 const { truncateText, formatMessage, CUT_OFF_PROMPT } = require('./prompts');
 const { handleOpenAIErrors } = require('./tools/util');
 const spendTokens = require('~/models/spendTokens');
@@ -32,6 +37,7 @@ class OpenAIClient extends BaseClient {
       ? options.contextStrategy.toLowerCase()
       : 'discard';
     this.shouldSummarize = this.contextStrategy === 'summarize';
+    /** @type {AzureOptions} */
     this.azure = options.azure || false;
     this.setOptions(options);
   }
@@ -104,10 +110,10 @@ class OpenAIClient extends BaseClient {
     }
 
     if (this.azure && process.env.AZURE_OPENAI_DEFAULT_MODEL) {
-      this.azureEndpoint = genAzureChatCompletion(this.azure, this.modelOptions.model);
+      this.azureEndpoint = genAzureChatCompletion(this.azure, this.modelOptions.model, this);
       this.modelOptions.model = process.env.AZURE_OPENAI_DEFAULT_MODEL;
     } else if (this.azure) {
-      this.azureEndpoint = genAzureChatCompletion(this.azure, this.modelOptions.model);
+      this.azureEndpoint = genAzureChatCompletion(this.azure, this.modelOptions.model, this);
     }
 
     const { model } = this.modelOptions;
@@ -711,7 +717,7 @@ class OpenAIClient extends BaseClient {
 
       if (this.azure) {
         modelOptions.model = process.env.AZURE_OPENAI_DEFAULT_MODEL ?? modelOptions.model;
-        this.azureEndpoint = genAzureChatCompletion(this.azure, modelOptions.model);
+        this.azureEndpoint = genAzureChatCompletion(this.azure, modelOptions.model, this);
       }
 
       const instructionsPayload = [
@@ -949,7 +955,12 @@ ${convo}
         // Azure does not accept `model` in the body, so we need to remove it.
         delete modelOptions.model;
 
-        opts.baseURL = this.azureEndpoint.split('/chat')[0];
+        opts.baseURL = this.langchainProxy
+          ? constructAzureURL({
+            baseURL: this.langchainProxy,
+            azure: this.azure,
+          })
+          : this.azureEndpoint.split(/\/(chat|completion)/)[0];
         opts.defaultQuery = { 'api-version': this.azure.azureOpenAIApiVersion };
         opts.defaultHeaders = { ...opts.defaultHeaders, 'api-key': this.apiKey };
       }

api/app/clients/llm/createLLM.js

@@ -1,6 +1,6 @@
 const { ChatOpenAI } = require('langchain/chat_models/openai');
-const { sanitizeModelName } = require('../../../utils');
+const { sanitizeModelName, constructAzureURL } = require('~/utils');
-const { isEnabled } = require('../../../server/utils');
+const { isEnabled } = require('~/server/utils');
 
 /**
  * Creates a new instance of a language model (LLM) for chat interactions.
@@ -36,6 +36,7 @@ function createLLM({
     apiKey: openAIApiKey,
   };
 
+  /**  @type {AzureOptions} */
   let azureOptions = {};
   if (azure) {
     const useModelName = isEnabled(process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME);
@@ -53,8 +54,12 @@ function createLLM({
     modelOptions.modelName = process.env.AZURE_OPENAI_DEFAULT_MODEL;
   }
 
-  // console.debug('createLLM: configOptions');
+  if (azure && configOptions.basePath) {
-  // console.debug(configOptions);
+    configOptions.basePath = constructAzureURL({
+      baseURL: configOptions.basePath,
+      azure: azureOptions,
+    });
+  }
 
   return new ChatOpenAI(
     {

api/server/services/Endpoints/gptPlugins/initializeClient.js

@@ -1,7 +1,8 @@
-const { PluginsClient } = require('~/app');
+const { EModelEndpoint } = require('librechat-data-provider');
-const { isEnabled } = require('~/server/utils');
-const { getAzureCredentials } = require('~/utils');
 const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
+const { getAzureCredentials } = require('~/utils');
+const { isEnabled } = require('~/server/utils');
+const { PluginsClient } = require('~/app');
 
 const initializeClient = async ({ req, res, endpointOption }) => {
   const {
@@ -10,26 +11,40 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     AZURE_API_KEY,
     PLUGINS_USE_AZURE,
     OPENAI_REVERSE_PROXY,
+    AZURE_OPENAI_BASEURL,
     OPENAI_SUMMARIZE,
     DEBUG_PLUGINS,
   } = process.env;
+
   const { key: expiresAt } = req.body;
   const contextStrategy = isEnabled(OPENAI_SUMMARIZE) ? 'summarize' : null;
+
+  const useAzure = isEnabled(PLUGINS_USE_AZURE);
+  const endpoint = useAzure ? EModelEndpoint.azureOpenAI : EModelEndpoint.openAI;
+
+  const baseURLOptions = {
+    [EModelEndpoint.openAI]: OPENAI_REVERSE_PROXY,
+    [EModelEndpoint.azureOpenAI]: AZURE_OPENAI_BASEURL,
+  };
+
+  const reverseProxyUrl = baseURLOptions[endpoint] ?? null;
+
   const clientOptions = {
     contextStrategy,
     debug: isEnabled(DEBUG_PLUGINS),
-    reverseProxyUrl: OPENAI_REVERSE_PROXY ?? null,
+    reverseProxyUrl,
     proxy: PROXY ?? null,
     req,
     res,
     ...endpointOption,
   };
 
-  const useAzure = isEnabled(PLUGINS_USE_AZURE);
+  const credentials = {
+    [EModelEndpoint.openAI]: OPENAI_API_KEY,
+    [EModelEndpoint.azureOpenAI]: AZURE_API_KEY,
+  };
 
-  const isUserProvided = useAzure
+  const isUserProvided = credentials[endpoint] === 'user_provided';
-    ? AZURE_API_KEY === 'user_provided'
-    : OPENAI_API_KEY === 'user_provided';
 
   let userKey = null;
   if (expiresAt && isUserProvided) {
@@ -39,11 +54,11 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     );
     userKey = await getUserKey({
       userId: req.user.id,
-      name: useAzure ? 'azureOpenAI' : 'openAI',
+      name: endpoint,
     });
   }
 
-  let apiKey = isUserProvided ? userKey : OPENAI_API_KEY;
+  let apiKey = isUserProvided ? userKey : credentials[endpoint];
 
   if (useAzure || (apiKey && apiKey.includes('azure') && !clientOptions.azure)) {
     clientOptions.azure = isUserProvided ? JSON.parse(userKey) : getAzureCredentials();

api/server/services/Endpoints/openAI/initializeClient.js

@@ -1,7 +1,8 @@
-const { OpenAIClient } = require('~/app');
+const { EModelEndpoint } = require('librechat-data-provider');
-const { isEnabled } = require('~/server/utils');
-const { getAzureCredentials } = require('~/utils');
 const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
+const { getAzureCredentials } = require('~/utils');
+const { isEnabled } = require('~/server/utils');
+const { OpenAIClient } = require('~/app');
 
 const initializeClient = async ({ req, res, endpointOption }) => {
   const {
@@ -9,15 +10,24 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     OPENAI_API_KEY,
     AZURE_API_KEY,
     OPENAI_REVERSE_PROXY,
+    AZURE_OPENAI_BASEURL,
     OPENAI_SUMMARIZE,
     DEBUG_OPENAI,
   } = process.env;
   const { key: expiresAt, endpoint } = req.body;
   const contextStrategy = isEnabled(OPENAI_SUMMARIZE) ? 'summarize' : null;
+
+  const baseURLOptions = {
+    [EModelEndpoint.openAI]: OPENAI_REVERSE_PROXY,
+    [EModelEndpoint.azureOpenAI]: AZURE_OPENAI_BASEURL,
+  };
+
+  const reverseProxyUrl = baseURLOptions[endpoint] ?? null;
+
   const clientOptions = {
     debug: isEnabled(DEBUG_OPENAI),
     contextStrategy,
-    reverseProxyUrl: OPENAI_REVERSE_PROXY ?? null,
+    reverseProxyUrl,
     proxy: PROXY ?? null,
     req,
     res,
@@ -25,8 +35,8 @@ const initializeClient = async ({ req, res, endpointOption }) => {
   };
 
   const credentials = {
-    openAI: OPENAI_API_KEY,
+    [EModelEndpoint.openAI]: OPENAI_API_KEY,
-    azureOpenAI: AZURE_API_KEY,
+    [EModelEndpoint.azureOpenAI]: AZURE_API_KEY,
   };
 
   const isUserProvided = credentials[endpoint] === 'user_provided';
@@ -42,7 +52,7 @@ const initializeClient = async ({ req, res, endpointOption }) => {
 
   let apiKey = isUserProvided ? userKey : credentials[endpoint];
 
-  if (endpoint === 'azureOpenAI') {
+  if (endpoint === EModelEndpoint.azureOpenAI) {
     clientOptions.azure = isUserProvided ? JSON.parse(userKey) : getAzureCredentials();
     apiKey = clientOptions.azure.azureOpenAIApiKey;
   }

api/utils/azureUtils.js

@@ -1,11 +1,3 @@
-/**
- * @typedef {Object} AzureCredentials
- * @property {string} azureOpenAIApiKey - The Azure OpenAI API key.
- * @property {string} azureOpenAIApiInstanceName - The Azure OpenAI API instance name.
- * @property {string} azureOpenAIApiDeploymentName - The Azure OpenAI API deployment name.
- * @property {string} azureOpenAIApiVersion - The Azure OpenAI API version.
- */
-
 const { isEnabled } = require('~/server/utils');
 
 /**
@@ -37,22 +29,29 @@ const genAzureEndpoint = ({ azureOpenAIApiInstanceName, azureOpenAIApiDeployment
  * @param {string} [AzureConfig.azureOpenAIApiDeploymentName] - The Azure OpenAI API deployment name (optional).
  * @param {string} AzureConfig.azureOpenAIApiVersion - The Azure OpenAI API version.
  * @param {string} [modelName] - The model name to be included in the deployment name (optional).
+ * @param {Object} [client] - The API Client class for optionally setting properties (optional).
  * @returns {string} The complete chat completion endpoint URL for the Azure OpenAI API.
  * @throws {Error} If neither azureOpenAIApiDeploymentName nor modelName is provided.
  */
 const genAzureChatCompletion = (
   { azureOpenAIApiInstanceName, azureOpenAIApiDeploymentName, azureOpenAIApiVersion },
   modelName,
+  client,
 ) => {
   // Determine the deployment segment of the URL based on provided modelName or azureOpenAIApiDeploymentName
   let deploymentSegment;
   if (isEnabled(process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME) && modelName) {
     const sanitizedModelName = sanitizeModelName(modelName);
     deploymentSegment = `${sanitizedModelName}`;
+    client &&
+      typeof client === 'object' &&
+      (client.azure.azureOpenAIApiDeploymentName = sanitizedModelName);
   } else if (azureOpenAIApiDeploymentName) {
     deploymentSegment = azureOpenAIApiDeploymentName;
-  } else {
+  } else if (!process.env.AZURE_OPENAI_BASEURL) {
-    throw new Error('Either a model name or a deployment name must be provided.');
+    throw new Error(
+      'Either a model name with the `AZURE_USE_MODEL_AS_DEPLOYMENT_NAME` setting or a deployment name must be provided if `AZURE_OPENAI_BASEURL` is omitted.',
+    );
   }
 
   return `https://${azureOpenAIApiInstanceName}.openai.azure.com/openai/deployments/${deploymentSegment}/chat/completions?api-version=${azureOpenAIApiVersion}`;
@@ -60,7 +59,7 @@ const genAzureChatCompletion = (
 
 /**
  * Retrieves the Azure OpenAI API credentials from environment variables.
- * @returns {AzureCredentials} An object containing the Azure OpenAI API credentials.
+ * @returns {AzureOptions} An object containing the Azure OpenAI API credentials.
  */
 const getAzureCredentials = () => {
   return {
@@ -71,9 +70,33 @@ const getAzureCredentials = () => {
   };
 };
 
+/**
+ * Constructs a URL by replacing placeholders in the baseURL with values from the azure object.
+ * It specifically looks for '${INSTANCE_NAME}' and '${DEPLOYMENT_NAME}' within the baseURL and replaces
+ * them with 'azureOpenAIApiInstanceName' and 'azureOpenAIApiDeploymentName' from the azure object.
+ * If the respective azure property is not provided, the placeholder is replaced with an empty string.
+ *
+ * @param {Object} params - The parameters object.
+ * @param {string} params.baseURL - The baseURL to inspect for replacement placeholders.
+ * @param {AzureOptions} params.azure - The baseURL to inspect for replacement placeholders.
+ * @returns {string} The complete baseURL with credentials injected for the Azure OpenAI API.
+ */
+function constructAzureURL({ baseURL, azure }) {
+  let finalURL = baseURL;
+
+  // Replace INSTANCE_NAME and DEPLOYMENT_NAME placeholders with actual values if available
+  if (azure) {
+    finalURL = finalURL.replace('${INSTANCE_NAME}', azure.azureOpenAIApiInstanceName ?? '');
+    finalURL = finalURL.replace('${DEPLOYMENT_NAME}', azure.azureOpenAIApiDeploymentName ?? '');
+  }
+
+  return finalURL;
+}
+
 module.exports = {
   sanitizeModelName,
   genAzureEndpoint,
   genAzureChatCompletion,
   getAzureCredentials,
+  constructAzureURL,
 };

api/utils/azureUtils.spec.js

@@ -0,0 +1,268 @@
+const {
+  sanitizeModelName,
+  genAzureEndpoint,
+  genAzureChatCompletion,
+  getAzureCredentials,
+  constructAzureURL,
+} = require('./azureUtils');
+
+describe('sanitizeModelName', () => {
+  test('removes periods from the model name', () => {
+    const sanitized = sanitizeModelName('model.name');
+    expect(sanitized).toBe('modelname');
+  });
+
+  test('leaves model name unchanged if no periods are present', () => {
+    const sanitized = sanitizeModelName('modelname');
+    expect(sanitized).toBe('modelname');
+  });
+});
+
+describe('genAzureEndpoint', () => {
+  test('generates correct endpoint URL', () => {
+    const url = genAzureEndpoint({
+      azureOpenAIApiInstanceName: 'instanceName',
+      azureOpenAIApiDeploymentName: 'deploymentName',
+    });
+    expect(url).toBe('https://instanceName.openai.azure.com/openai/deployments/deploymentName');
+  });
+});
+
+describe('genAzureChatCompletion', () => {
+  // Test with both deployment name and model name provided
+  test('prefers model name over deployment name when both are provided and feature enabled', () => {
+    process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
+    const url = genAzureChatCompletion(
+      {
+        azureOpenAIApiInstanceName: 'instanceName',
+        azureOpenAIApiDeploymentName: 'deploymentName',
+        azureOpenAIApiVersion: 'v1',
+      },
+      'modelName',
+    );
+    expect(url).toBe(
+      'https://instanceName.openai.azure.com/openai/deployments/modelName/chat/completions?api-version=v1',
+    );
+  });
+
+  // Test with only deployment name provided
+  test('uses deployment name when model name is not provided', () => {
+    const url = genAzureChatCompletion({
+      azureOpenAIApiInstanceName: 'instanceName',
+      azureOpenAIApiDeploymentName: 'deploymentName',
+      azureOpenAIApiVersion: 'v1',
+    });
+    expect(url).toBe(
+      'https://instanceName.openai.azure.com/openai/deployments/deploymentName/chat/completions?api-version=v1',
+    );
+  });
+
+  // Test with only model name provided
+  test('uses model name when deployment name is not provided and feature enabled', () => {
+    process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
+    const url = genAzureChatCompletion(
+      {
+        azureOpenAIApiInstanceName: 'instanceName',
+        azureOpenAIApiVersion: 'v1',
+      },
+      'modelName',
+    );
+    expect(url).toBe(
+      'https://instanceName.openai.azure.com/openai/deployments/modelName/chat/completions?api-version=v1',
+    );
+  });
+
+  // Test with neither deployment name nor model name provided
+  test('throws error if neither deployment name nor model name is provided', () => {
+    expect(() => {
+      genAzureChatCompletion({
+        azureOpenAIApiInstanceName: 'instanceName',
+        azureOpenAIApiVersion: 'v1',
+      });
+    }).toThrow(
+      'Either a model name with the `AZURE_USE_MODEL_AS_DEPLOYMENT_NAME` setting or a deployment name must be provided if `AZURE_OPENAI_BASEURL` is omitted.',
+    );
+  });
+
+  // Test with feature disabled but model name provided
+  test('ignores model name and uses deployment name when feature is disabled', () => {
+    process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'false';
+    const url = genAzureChatCompletion(
+      {
+        azureOpenAIApiInstanceName: 'instanceName',
+        azureOpenAIApiDeploymentName: 'deploymentName',
+        azureOpenAIApiVersion: 'v1',
+      },
+      'modelName',
+    );
+    expect(url).toBe(
+      'https://instanceName.openai.azure.com/openai/deployments/deploymentName/chat/completions?api-version=v1',
+    );
+  });
+
+  // Test with sanitized model name
+  test('sanitizes model name when used in URL', () => {
+    process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
+    const url = genAzureChatCompletion(
+      {
+        azureOpenAIApiInstanceName: 'instanceName',
+        azureOpenAIApiVersion: 'v1',
+      },
+      'model.name',
+    );
+    expect(url).toBe(
+      'https://instanceName.openai.azure.com/openai/deployments/modelname/chat/completions?api-version=v1',
+    );
+  });
+
+  // Test with client parameter and model name
+  test('updates client with sanitized model name when provided and feature enabled', () => {
+    process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
+    const clientMock = { azure: {} };
+    const url = genAzureChatCompletion(
+      {
+        azureOpenAIApiInstanceName: 'instanceName',
+        azureOpenAIApiVersion: 'v1',
+      },
+      'model.name',
+      clientMock,
+    );
+    expect(url).toBe(
+      'https://instanceName.openai.azure.com/openai/deployments/modelname/chat/completions?api-version=v1',
+    );
+    expect(clientMock.azure.azureOpenAIApiDeploymentName).toBe('modelname');
+  });
+
+  // Test with client parameter but without model name
+  test('does not update client when model name is not provided', () => {
+    const clientMock = { azure: {} };
+    const url = genAzureChatCompletion(
+      {
+        azureOpenAIApiInstanceName: 'instanceName',
+        azureOpenAIApiDeploymentName: 'deploymentName',
+        azureOpenAIApiVersion: 'v1',
+      },
+      undefined,
+      clientMock,
+    );
+    expect(url).toBe(
+      'https://instanceName.openai.azure.com/openai/deployments/deploymentName/chat/completions?api-version=v1',
+    );
+    expect(clientMock.azure.azureOpenAIApiDeploymentName).toBeUndefined();
+  });
+
+  // Test with client parameter and deployment name when feature is disabled
+  test('does not update client when feature is disabled', () => {
+    process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'false';
+    const clientMock = { azure: {} };
+    const url = genAzureChatCompletion(
+      {
+        azureOpenAIApiInstanceName: 'instanceName',
+        azureOpenAIApiDeploymentName: 'deploymentName',
+        azureOpenAIApiVersion: 'v1',
+      },
+      'modelName',
+      clientMock,
+    );
+    expect(url).toBe(
+      'https://instanceName.openai.azure.com/openai/deployments/deploymentName/chat/completions?api-version=v1',
+    );
+    expect(clientMock.azure.azureOpenAIApiDeploymentName).toBeUndefined();
+  });
+
+  // Reset environment variable after tests
+  afterEach(() => {
+    delete process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME;
+  });
+});
+
+describe('getAzureCredentials', () => {
+  beforeEach(() => {
+    process.env.AZURE_API_KEY = 'testApiKey';
+    process.env.AZURE_OPENAI_API_INSTANCE_NAME = 'instanceName';
+    process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME = 'deploymentName';
+    process.env.AZURE_OPENAI_API_VERSION = 'v1';
+  });
+
+  test('retrieves Azure OpenAI API credentials from environment variables', () => {
+    const credentials = getAzureCredentials();
+    expect(credentials).toEqual({
+      azureOpenAIApiKey: 'testApiKey',
+      azureOpenAIApiInstanceName: 'instanceName',
+      azureOpenAIApiDeploymentName: 'deploymentName',
+      azureOpenAIApiVersion: 'v1',
+    });
+  });
+});
+
+describe('constructAzureURL', () => {
+  test('replaces both placeholders when both properties are provided', () => {
+    const url = constructAzureURL({
+      baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
+      azure: {
+        azureOpenAIApiInstanceName: 'instance1',
+        azureOpenAIApiDeploymentName: 'deployment1',
+      },
+    });
+    expect(url).toBe('https://example.com/instance1/deployment1');
+  });
+
+  test('replaces only INSTANCE_NAME when only azureOpenAIApiInstanceName is provided', () => {
+    const url = constructAzureURL({
+      baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
+      azure: {
+        azureOpenAIApiInstanceName: 'instance2',
+      },
+    });
+    expect(url).toBe('https://example.com/instance2/');
+  });
+
+  test('replaces only DEPLOYMENT_NAME when only azureOpenAIApiDeploymentName is provided', () => {
+    const url = constructAzureURL({
+      baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
+      azure: {
+        azureOpenAIApiDeploymentName: 'deployment2',
+      },
+    });
+    expect(url).toBe('https://example.com//deployment2');
+  });
+
+  test('does not replace any placeholders when azure object is empty', () => {
+    const url = constructAzureURL({
+      baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
+      azure: {},
+    });
+    expect(url).toBe('https://example.com//');
+  });
+
+  test('returns baseURL as is when azure object is not provided', () => {
+    const url = constructAzureURL({
+      baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
+    });
+    expect(url).toBe('https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}');
+  });
+
+  test('returns baseURL as is when no placeholders are set', () => {
+    const url = constructAzureURL({
+      baseURL: 'https://example.com/my_custom_instance/my_deployment',
+      azure: {
+        azureOpenAIApiInstanceName: 'instance1',
+        azureOpenAIApiDeploymentName: 'deployment1',
+      },
+    });
+    expect(url).toBe('https://example.com/my_custom_instance/my_deployment');
+  });
+
+  test('returns regular Azure OpenAI baseURL with placeholders set', () => {
+    const baseURL =
+      'https://${INSTANCE_NAME}.openai.azure.com/openai/deployments/${DEPLOYMENT_NAME}';
+    const url = constructAzureURL({
+      baseURL,
+      azure: {
+        azureOpenAIApiInstanceName: 'instance1',
+        azureOpenAIApiDeploymentName: 'deployment1',
+      },
+    });
+    expect(url).toBe('https://instance1.openai.azure.com/openai/deployments/deployment1');
+  });
+});

api/utils/extractBaseURL.js

@@ -1,13 +1,15 @@
 /**
- * Extracts a valid OpenAI baseURL from a given string, matching "url/v1," also an added suffix,
+ * Extracts a valid OpenAI baseURL from a given string, matching "url/v1," followed by an optional suffix.
- * ending with "/openai" (to allow the Cloudflare, LiteLLM pattern).
+ * The suffix can be one of several predefined values (e.g., 'openai', 'azure-openai', etc.),
- * Returns the original URL if no match is found.
+ * accommodating different proxy patterns like Cloudflare, LiteLLM, etc.
+ * Returns the original URL if no valid pattern is found.
  *
  * Examples:
  * - `https://open.ai/v1/chat` -> `https://open.ai/v1`
  * - `https://open.ai/v1/chat/completions` -> `https://open.ai/v1`
- * - `https://open.ai/v1/ACCOUNT/GATEWAY/openai/completions` -> `https://open.ai/v1/ACCOUNT/GATEWAY/openai`
+ * - `https://gateway.ai.cloudflare.com/v1/account/gateway/azure-openai/completions` -> `https://gateway.ai.cloudflare.com/v1/account/gateway/azure-openai`
  * - `https://open.ai/v1/hi/openai` -> `https://open.ai/v1/hi/openai`
+ * - `https://api.example.com/v1/replicate` -> `https://api.example.com/v1/replicate`
  *
  * @param {string} url - The URL to be processed.
  * @returns {string} The matched pattern or input if no match is found.
@@ -23,8 +25,27 @@ function extractBaseURL(url) {
   // Extract the part of the URL up to and including '/v1'.
   let baseUrl = url.substring(0, v1Index + 3);
 
+  const openai = 'openai';
+  // Find which suffix is present.
+  const suffixes = [
+    'azure-openai',
+    openai,
+    'replicate',
+    'huggingface',
+    'workers-ai',
+    'aws-bedrock',
+  ];
+  const suffixUsed = suffixes.find((suffix) => url.includes(`/${suffix}`));
+
+  if (suffixUsed === 'azure-openai') {
+    return url.split(/\/(chat|completion)/)[0];
+  }
+
   // Check if the URL has '/openai' immediately after '/v1'.
-  const openaiIndex = url.indexOf('/openai', v1Index + 3);
+  const openaiIndex = url.indexOf(`/${openai}`, v1Index + 3);
+  // Find which suffix is present in the URL, if any.
+  const suffixIndex =
+    suffixUsed === openai ? openaiIndex : url.indexOf(`/${suffixUsed}`, v1Index + 3);
 
   // If '/openai' is found right after '/v1', include it in the base URL.
   if (openaiIndex === v1Index + 3) {
@@ -37,9 +58,9 @@ function extractBaseURL(url) {
       // If there is a next slash, the base URL goes up to but not including the slash.
       baseUrl = url.substring(0, nextSlashIndex);
     }
-  } else if (openaiIndex > 0) {
+  } else if (suffixIndex > 0) {
-    // If '/openai' is present but not immediately after '/v1', we need to include the reverse proxy pattern.
+    // If a suffix is present but not immediately after '/v1', we need to include the reverse proxy pattern.
-    baseUrl = url.substring(0, openaiIndex + 7);
+    baseUrl = url.substring(0, suffixIndex + suffixUsed.length + 1);
   }
 
   return baseUrl;

api/utils/extractBaseURL.spec.js

@@ -53,4 +53,59 @@ describe('extractBaseURL', () => {
     const url = 'https://open.ai/v1/hi/openai';
     expect(extractBaseURL(url)).toBe('https://open.ai/v1/hi/openai');
   });
+
+  test('should handle Azure OpenAI Cloudflare endpoint correctly', () => {
+    const url = 'https://gateway.ai.cloudflare.com/v1/account/gateway/azure-openai/completions';
+    expect(extractBaseURL(url)).toBe(
+      'https://gateway.ai.cloudflare.com/v1/account/gateway/azure-openai',
+    );
+  });
+
+  test('should include various suffixes in the extracted URL when present', () => {
+    const urls = [
+      'https://api.example.com/v1/azure-openai/something',
+      'https://api.example.com/v1/replicate/anotherthing',
+      'https://api.example.com/v1/huggingface/yetanotherthing',
+      'https://api.example.com/v1/workers-ai/differentthing',
+      'https://api.example.com/v1/aws-bedrock/somethingelse',
+    ];
+
+    const expected = [
+      /* Note: exception for azure-openai to allow credential injection */
+      'https://api.example.com/v1/azure-openai/something',
+      'https://api.example.com/v1/replicate',
+      'https://api.example.com/v1/huggingface',
+      'https://api.example.com/v1/workers-ai',
+      'https://api.example.com/v1/aws-bedrock',
+    ];
+
+    urls.forEach((url, index) => {
+      expect(extractBaseURL(url)).toBe(expected[index]);
+    });
+  });
+
+  test('should handle URLs with suffixes not immediately after /v1', () => {
+    const url = 'https://api.example.com/v1/some/path/azure-openai';
+    expect(extractBaseURL(url)).toBe('https://api.example.com/v1/some/path/azure-openai');
+  });
+
+  test('should handle URLs with complex paths after the suffix', () => {
+    const url = 'https://api.example.com/v1/replicate/deep/path/segment';
+    expect(extractBaseURL(url)).toBe('https://api.example.com/v1/replicate');
+  });
+
+  test('should leave a regular Azure OpenAI baseURL as is', () => {
+    const url = 'https://instance-name.openai.azure.com/openai/deployments/deployment-name';
+    expect(extractBaseURL(url)).toBe(url);
+  });
+
+  test('should leave a regular Azure OpenAI baseURL with placeholders as is', () => {
+    const url = 'https://${INSTANCE_NAME}.openai.azure.com/openai/deployments/${DEPLOYMENT_NAME}';
+    expect(extractBaseURL(url)).toBe(url);
+  });
+
+  test('should leave an alternate Azure OpenAI baseURL with placeholders as is', () => {
+    const url = 'https://${INSTANCE_NAME}.com/resources/deployments/${DEPLOYMENT_NAME}';
+    expect(extractBaseURL(url)).toBe(url);
+  });
 });

docs/install/configuration/ai_setup.md

@@ -278,6 +278,45 @@ AZURE_OPENAI_DEFAULT_MODEL=gpt-3.5-turbo # do include periods in the model name
 
 ```
 
+### Using a Specified Base URL with Azure
+
+The base URL for Azure OpenAI API requests can be dynamically configured. This is useful for proxying services such as [Cloudflare AI Gateway](https://developers.cloudflare.com/ai-gateway/providers/azureopenai/), or if you wish to explicitly override the baseURL handling of the app.
+
+LibreChat will use the `AZURE_OPENAI_BASEURL` environment variable, which can include placeholders for the Azure OpenAI API instance and deployment names.
+
+In the application's environment configuration, the base URL is set like this:
+
+```bash
+# .env file
+AZURE_OPENAI_BASEURL=https://example.azure-api.net/${INSTANCE_NAME}/${DEPLOYMENT_NAME}
+
+# OR
+AZURE_OPENAI_BASEURL=https://${INSTANCE_NAME}.openai.azure.com/openai/deployments/${DEPLOYMENT_NAME}
+
+# Cloudflare example
+AZURE_OPENAI_BASEURL=https://gateway.ai.cloudflare.com/v1/ACCOUNT_TAG/GATEWAY/azure-openai/${INSTANCE_NAME}/${DEPLOYMENT_NAME}
+```
+
+The application replaces `${INSTANCE_NAME}` and `${DEPLOYMENT_NAME}` in the `AZURE_OPENAI_BASEURL`, processed according to the other settings discussed in the guide.
+
+**You can also omit the placeholders completely and simply construct the baseURL with your credentials:**
+
+```bash
+# .env file
+AZURE_OPENAI_BASEURL=https://instance-1.openai.azure.com/openai/deployments/deployment-1
+
+# Cloudflare example
+AZURE_OPENAI_BASEURL=https://gateway.ai.cloudflare.com/v1/ACCOUNT_TAG/GATEWAY/azure-openai/instance-1/deployment-1
+```
+
+Setting these values will override all of the application's internal handling of the instance and deployment names and use your specified base URL.
+
+**Notes:**
+- You should still provide the `AZURE_OPENAI_API_VERSION` and `AZURE_API_KEY` via the .env file as they are programmatically added to the requests.
+- When specifying instance and deployment names in the `AZURE_OPENAI_BASEURL`, their respective environment variables can be omitted (`AZURE_OPENAI_API_INSTANCE_NAME` and `AZURE_OPENAI_API_DEPLOYMENT_NAME`) except for use with Plugins.
+- Specifying instance and deployment names in the `AZURE_OPENAI_BASEURL` instead of placeholders creates conflicts with "plugins," "vision," "default-model," and "model-as-deployment-name" support.
+- Due to the conflicts that arise with other features, it is recommended to use placeholder for instance and deployment names in the `AZURE_OPENAI_BASEURL`
+
 ### Enabling Auto-Generated Titles with Azure
 
 The default titling model is set to `gpt-3.5-turbo`.
@@ -294,7 +333,10 @@ This will work seamlessly as it does with the [OpenAI endpoint](#openai) (no nee
 
 Alternatively, you can set the [required variables](#required-variables) to explicitly use your vision deployment, but this may limit you to exclusively using your vision deployment for all Azure chat settings.
 
-As of December 18th, 2023, Vision models seem to have degraded performance with Azure OpenAI when compared to [OpenAI](#openai)
+
+**Notes:**
+- If using `AZURE_OPENAI_BASEURL`, you should not specify instance and deployment names instead of placeholders as the vision request will fail.
+- As of December 18th, 2023, Vision models seem to have degraded performance with Azure OpenAI when compared to [OpenAI](#openai)
 
 ![image](https://github.com/danny-avila/LibreChat/assets/110412045/7306185f-c32c-4483-9167-af514cc1c2dd)
 
@@ -361,6 +403,9 @@ To use Azure with the Plugins endpoint, make sure the following environment vari
 * `PLUGINS_USE_AZURE`: If set to "true" or any truthy value, this will enable the program to use Azure with the Plugins endpoint.
 * `AZURE_API_KEY`: Your Azure API key must be set with an environment variable.
 
+**Important:**
+- If using `AZURE_OPENAI_BASEURL`, you should not specify instance and deployment names instead of placeholders as the plugin request will fail.
+
 ---
 
 ## [OpenRouter](https://openrouter.ai/)

docs/install/configuration/custom_config.md

@@ -4,6 +4,21 @@ description: Comprehensive guide for configuring the `librechat.yaml` file AKA t
 weight: -10
 ---
 
+<!-- # Table of Contents
+
+ - [Intro](#librechat-configuration-guide)
+    - [Setup](#setup)
+    - [Docker Setup](#docker-setup)
+    - [Config Structure](#config-structure)
+        - [1. Version](#1-version)
+        - [2. Cache Settings](#2-cache-settings)
+        - [3. Endpoints](#3-endpoints)
+            - [Endpoint Object Structure](#endpoint-object-structure)
+    - [Additional Notes](#additional-notes)
+    - [Default Parameters](#default-parameters)
+        - [Breakdown of Default Params](#breakdown-of-default-params)
+    - [Example Config](#example-config) -->
+
 # LibreChat Configuration Guide
 
 Welcome to the guide for configuring the **librechat.yaml** file in LibreChat.

docs/install/configuration/dotenv.md

@@ -177,6 +177,20 @@ AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME=
 
 - Identify the available models, separated by commas *without spaces*. The first will be default. Leave it blank or as is to use internal settings.
 
+- **The base URL for Azure OpenAI API requests can be dynamically configured.**
+
+```bash
+# .env file
+AZURE_OPENAI_BASEURL=https://${INSTANCE_NAME}.openai.azure.com/openai/deployments/${DEPLOYMENT_NAME}
+
+# Cloudflare example
+AZURE_OPENAI_BASEURL=https://gateway.ai.cloudflare.com/v1/ACCOUNT_TAG/GATEWAY/azure-openai/${INSTANCE_NAME}/${DEPLOYMENT_NAME}
+```
+- Sets the base URL for Azure OpenAI API requests.
+- Can include `${INSTANCE_NAME}` and `${DEPLOYMENT_NAME}` placeholders or specific credentials.
+- Example: "https://gateway.ai.cloudflare.com/v1/ACCOUNT_TAG/GATEWAY/azure-openai/${INSTANCE_NAME}/${DEPLOYMENT_NAME}"
+- [More info about `AZURE_OPENAI_BASEURL` here](./ai_setup.md#using-a-specified-base-url-with-azure)
+
 > Note: as deployment names can't have periods, they will be removed when the endpoint is generated.
 
 ```bash

packages/data-provider/src/types.ts

@@ -1,5 +1,5 @@
 import OpenAI from 'openai';
-import type { TResPlugin, TMessage, TConversation, EModelEndpoint } from './schemas';
+import type { TResPlugin, TMessage, TConversation, EModelEndpoint, ImageDetail } from './schemas';
 
 export type TOpenAIMessage = OpenAI.Chat.ChatCompletionMessageParam;
 export type TOpenAIFunction = OpenAI.Chat.ChatCompletionCreateParams.Function;
@@ -11,10 +11,13 @@ export type TMessages = TMessage[];
 
 export type TMessagesAtom = TMessages | null;
 
+/* TODO: Cleanup EndpointOption types */
 export type TEndpointOption = {
   endpoint: EModelEndpoint;
   endpointType?: EModelEndpoint;
   modelDisplayLabel?: string;
+  resendImages?: boolean;
+  imageDetail?: ImageDetail;
   model?: string | null;
   promptPrefix?: string;
   temperature?: number;